Pandas Profiling Report

Dataset statistics

Number of variables	75
Number of observations	239
Missing cells	1755
Missing cells (%)	9.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	140.2 KiB
Average record size in memory	600.5 B

Variable types

DateTime	4
Numeric	21
Categorical	47
Unsupported	3

Warnings

`ndep_notif` has constant value "SANTANDER"	Constant
`nmun_notif` has constant value "BUCARAMANGA"	Constant
`num_ide_` has a high cardinality: 230 distinct values	High cardinality
`semana` is highly correlated with `nreg`	High correlation
`edad_` is highly correlated with `cir_adic_1`	High correlation
`cod_dpto_o` is highly correlated with `cod_dpto_r` and 1 other fields	High correlation
`cod_mun_o` is highly correlated with `cod_mun_r` and 1 other fields	High correlation
`gp_discapa` is highly correlated with `gp_desplaz`	High correlation
`gp_desplaz` is highly correlated with `gp_discapa`	High correlation
`sem_ges_` is highly correlated with `cir_adic_1`	High correlation
`cod_dpto_r` is highly correlated with `cod_dpto_o` and 1 other fields	High correlation
`cod_mun_r` is highly correlated with `cod_mun_o`	High correlation
`pte_remtda` is highly correlated with `cir_adic_1`	High correlation
`codinst_r1` is highly correlated with `cod_dpto_o` and 1 other fields	High correlation
`tiem_remis` is highly correlated with `falla_cere`	High correlation
`num_gestac` is highly correlated with `num_vivos`	High correlation
`num_cesare` is highly correlated with `cir_adic_1`	High correlation
`num_molas` is highly correlated with `num_ectopi` and 1 other fields	High correlation
`num_ectopi` is highly correlated with `num_molas` and 1 other fields	High correlation
`num_muerto` is highly correlated with `num_molas` and 1 other fields	High correlation
`num_vivos` is highly correlated with `num_gestac`	High correlation
`no_con_pre` is highly correlated with `sem_c_pren`	High correlation
`sem_c_pren` is highly correlated with `no_con_pre`	High correlation
`term_gesta` is highly correlated with `cir_adic_1`	High correlation
`falla_card` is highly correlated with `ttl_criter` and 1 other fields	High correlation
`falla_cere` is highly correlated with `tiem_remis`	High correlation
`falla_coag` is highly correlated with `cir_adic_1`	High correlation
`preclampsi` is highly correlated with `hemorragia_obstétrica_severa` and 1 other fields	High correlation
`hemorragia_obstétrica_severa` is highly correlated with `preclampsi`	High correlation
`ttl_criter` is highly correlated with `falla_card`	High correlation
`cir_adic_1` is highly correlated with `edad_` and 8 other fields	High correlation
`egreso` is highly correlated with `cir_adic_1`	High correlation
`caus_agrup` is highly correlated with `preclampsi`	High correlation
`nreg` is highly correlated with `semana`	High correlation
`cod_pre` is highly correlated with `ocupacion_`	High correlation
`edad_` is highly correlated with `cir_adic_1`	High correlation
`cod_dpto_o` is highly correlated with `cod_dpto_r` and 1 other fields	High correlation
`cod_mun_o` is highly correlated with `cod_mun_r` and 1 other fields	High correlation
`ocupacion_` is highly correlated with `cod_pre` and 1 other fields	High correlation
`gp_discapa` is highly correlated with `gp_desplaz`	High correlation
`gp_desplaz` is highly correlated with `gp_discapa`	High correlation
`gp_gestan` is highly correlated with `cir_adic_1`	High correlation
`sem_ges_` is highly correlated with `cir_adic_1`	High correlation
`gp_otros` is highly correlated with `ocupacion_` and 1 other fields	High correlation
`cod_dpto_r` is highly correlated with `cod_dpto_o` and 1 other fields	High correlation
`cod_mun_r` is highly correlated with `cod_mun_o`	High correlation
`pte_remtda` is highly correlated with `cir_adic_1`	High correlation
`codinst_r1` is highly correlated with `cod_dpto_o` and 1 other fields	High correlation
`tiem_remis` is highly correlated with `falla_cere`	High correlation
`num_gestac` is highly correlated with `num_vivos`	High correlation
`num_cesare` is highly correlated with `cir_adic_1`	High correlation
`num_vivos` is highly correlated with `num_gestac`	High correlation
`no_con_pre` is highly correlated with `sem_c_pren` and 1 other fields	High correlation
`sem_c_pren` is highly correlated with `no_con_pre`	High correlation
`term_gesta` is highly correlated with `cir_adic_1`	High correlation
`falla_card` is highly correlated with `ttl_criter`	High correlation
`falla_cere` is highly correlated with `tiem_remis`	High correlation
`preclampsi` is highly correlated with `hemorragia_obstétrica_severa` and 1 other fields	High correlation
`hemorragia_obstétrica_severa` is highly correlated with `preclampsi` and 1 other fields	High correlation
`ttl_criter` is highly correlated with `falla_card` and 1 other fields	High correlation
`cir_adic_1` is highly correlated with `edad_` and 10 other fields	High correlation
`egreso` is highly correlated with `cir_adic_1`	High correlation
`caus_agrup` is highly correlated with `preclampsi` and 1 other fields	High correlation
`cod_pre` is highly correlated with `ocupacion_` and 1 other fields	High correlation
`edad_` is highly correlated with `cir_adic_1`	High correlation
`cod_dpto_o` is highly correlated with `cod_dpto_r`	High correlation
`cod_mun_o` is highly correlated with `cod_mun_r`	High correlation
`ocupacion_` is highly correlated with `cod_pre` and 1 other fields	High correlation
`gp_discapa` is highly correlated with `gp_desplaz`	High correlation
`gp_desplaz` is highly correlated with `gp_discapa`	High correlation
`sem_ges_` is highly correlated with `cir_adic_1`	High correlation
`gp_otros` is highly correlated with `ocupacion_`	High correlation
`cod_dpto_r` is highly correlated with `cod_dpto_o`	High correlation
`cod_mun_r` is highly correlated with `cod_mun_o`	High correlation
`pte_remtda` is highly correlated with `cir_adic_1`	High correlation
`tiem_remis` is highly correlated with `falla_cere`	High correlation
`num_gestac` is highly correlated with `num_vivos`	High correlation
`num_cesare` is highly correlated with `cir_adic_1`	High correlation
`num_vivos` is highly correlated with `num_gestac`	High correlation
`no_con_pre` is highly correlated with `sem_c_pren`	High correlation
`sem_c_pren` is highly correlated with `no_con_pre`	High correlation
`term_gesta` is highly correlated with `cir_adic_1`	High correlation
`falla_card` is highly correlated with `ttl_criter`	High correlation
`falla_cere` is highly correlated with `tiem_remis`	High correlation
`preclampsi` is highly correlated with `hemorragia_obstétrica_severa` and 1 other fields	High correlation
`hemorragia_obstétrica_severa` is highly correlated with `preclampsi`	High correlation
`ttl_criter` is highly correlated with `falla_card`	High correlation
`cir_adic_1` is highly correlated with `cod_pre` and 6 other fields	High correlation
`egreso` is highly correlated with `cir_adic_1`	High correlation
`caus_agrup` is highly correlated with `preclampsi`	High correlation
`num_cesare` is highly correlated with `term_gesta` and 4 other fields	High correlation
`term_gesta` is highly correlated with `num_cesare` and 7 other fields	High correlation
`pte_remtda` is highly correlated with `nmun_proce` and 7 other fields	High correlation
`cod_dpto_r` is highly correlated with `nmun_proce` and 10 other fields	High correlation
`nmun_proce` is highly correlated with `pte_remtda` and 16 other fields	High correlation
`tip_ss_` is highly correlated with `caus_asoc1` and 9 other fields	High correlation
`edad_` is highly correlated with `tip_ide_` and 3 other fields	High correlation
`cir_adicio` is highly correlated with `caus_asoc1` and 4 other fields	High correlation
`hemorragia_obstétrica_severa` is highly correlated with `caus_asoc1` and 6 other fields	High correlation
`falla_cere` is highly correlated with `tiem_remis` and 4 other fields	High correlation
`sem_ges_` is highly correlated with `term_gesta` and 7 other fields	High correlation
`falla_card` is highly correlated with `caus_asoc1` and 4 other fields	High correlation
`nreg` is highly correlated with `caus_asoc1` and 3 other fields	High correlation
`ajuste_` is highly correlated with `fec_aju_` and 2 other fields	High correlation
`cod_pre` is highly correlated with `cod_dpto_r` and 5 other fields	High correlation
`caus_asoc1` is highly correlated with `num_cesare` and 45 other fields	High correlation
`tiem_remis` is highly correlated with `tip_ss_` and 11 other fields	High correlation
`cod_sub` is highly correlated with `cir_adicio` and 2 other fields	High correlation
`no_con_pre` is highly correlated with `caus_asoc1` and 5 other fields	High correlation
`area_` is highly correlated with `nmun_proce` and 7 other fields	High correlation
`num_muerto` is highly correlated with `nmun_proce` and 3 other fields	High correlation
`choq_septi` is highly correlated with `caus_asoc1` and 3 other fields	High correlation
`semana` is highly correlated with `nreg` and 3 other fields	High correlation
`falla_resp` is highly correlated with `caus_asoc1` and 5 other fields	High correlation
`caus_agrup` is highly correlated with `hemorragia_obstétrica_severa` and 7 other fields	High correlation
`num_ectopi` is highly correlated with `sem_ges_` and 6 other fields	High correlation
`ndep_resi` is highly correlated with `cod_dpto_r` and 11 other fields	High correlation
`gp_gestan` is highly correlated with `caus_asoc1` and 3 other fields	High correlation
`ttl_criter` is highly correlated with `nmun_proce` and 14 other fields	High correlation
`eclampsia` is highly correlated with `caus_asoc1` and 3 other fields	High correlation
`cod_mun_o` is highly correlated with `cod_dpto_r` and 12 other fields	High correlation
`codinst_r1` is highly correlated with `cod_dpto_r` and 8 other fields	High correlation
`ocupacion_` is highly correlated with `caus_asoc1` and 2 other fields	High correlation
`fuente` is highly correlated with `caus_princ` and 1 other fields	High correlation
`estrato_` is highly correlated with `caus_asoc1` and 3 other fields	High correlation
`gp_desplaz` is highly correlated with `cod_pre` and 2 other fields	High correlation
`gp_otros` is highly correlated with `pte_remtda` and 7 other fields	High correlation
`sem_c_pren` is highly correlated with `caus_asoc1` and 4 other fields	High correlation
`egreso` is highly correlated with `caus_asoc1` and 7 other fields	High correlation
`fec_aju_` is highly correlated with `pte_remtda` and 30 other fields	High correlation
`preclampsi` is highly correlated with `hemorragia_obstétrica_severa` and 7 other fields	High correlation
`num_aborto` is highly correlated with `caus_asoc1` and 3 other fields	High correlation
`num_molas` is highly correlated with `term_gesta` and 4 other fields	High correlation
`cod_mun_r` is highly correlated with `cod_dpto_r` and 13 other fields	High correlation
`pac_hos_` is highly correlated with `cod_pre` and 2 other fields	High correlation
`falla_hepa` is highly correlated with `ttl_criter` and 1 other fields	High correlation
`inst_refe1` is highly correlated with `num_cesare` and 29 other fields	High correlation
`ndep_proce` is highly correlated with `cod_dpto_r` and 9 other fields	High correlation
`cod_dpto_o` is highly correlated with `cod_dpto_r` and 9 other fields	High correlation
`tip_ide_` is highly correlated with `term_gesta` and 9 other fields	High correlation
`caus_princ` is highly correlated with `term_gesta` and 21 other fields	High correlation
`moc_rel_tg` is highly correlated with `caus_asoc1` and 2 other fields	High correlation
`dias_hospi` is highly correlated with `falla_cere` and 2 other fields	High correlation
`gp_migrant` is highly correlated with `tip_ss_` and 5 other fields	High correlation
`nmun_resi` is highly correlated with `cod_dpto_r` and 16 other fields	High correlation
`caus_asoc2` is highly correlated with `num_cesare` and 45 other fields	High correlation
`cir_adic_1` is highly correlated with `term_gesta` and 24 other fields	High correlation
`num_gestac` is highly correlated with `caus_asoc1` and 8 other fields	High correlation
`cod_ase_` is highly correlated with `pte_remtda` and 11 other fields	High correlation
`num_parvag` is highly correlated with `fec_aju_` and 4 other fields	High correlation
`nombre_nacionalidad` is highly correlated with `tip_ss_` and 6 other fields	High correlation
`num_vivos` is highly correlated with `num_cesare` and 6 other fields	High correlation
`falla_coag` is highly correlated with `caus_asoc1` and 6 other fields	High correlation
`gp_discapa` is highly correlated with `cod_pre` and 2 other fields	High correlation
`falla_rena` is highly correlated with `caus_asoc1` and 4 other fields	High correlation
`cod_ase_` has 47 (19.7%) missing values	Missing
`estrato_` has 145 (60.7%) missing values	Missing
`sem_ges_` has 59 (24.7%) missing values	Missing
`codinst_r1` has 176 (73.6%) missing values	Missing
`inst_refe1` has 175 (73.2%) missing values	Missing
`tiem_remis` has 176 (73.6%) missing values	Missing
`cir_adic_1` has 230 (96.2%) missing values	Missing
`egreso` has 53 (22.2%) missing values	Missing
`caus_asoc1` has 206 (86.2%) missing values	Missing
`caus_asoc2` has 233 (97.5%) missing values	Missing
`caus_asoc3` has 237 (99.2%) missing values	Missing
`ndep_notif` has 9 (3.8%) missing values	Missing
`nmun_notif` has 9 (3.8%) missing values	Missing
`num_ide_` is uniformly distributed	Uniform
`caus_asoc2` is uniformly distributed	Uniform
`caus_asoc3` is uniformly distributed	Uniform
`nreg` has unique values	Unique
`fec_hos_` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`fec_ul_ges` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`fec_egreso` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`num_parvag` has 140 (58.6%) zeros	Zeros
`num_vivos` has 56 (23.4%) zeros	Zeros
`no_con_pre` has 121 (50.6%) zeros	Zeros
`sem_c_pren` has 121 (50.6%) zeros	Zeros
`dias_hospi` has 65 (27.2%) zeros	Zeros

Reproduction

Analysis started	2021-07-10 23:46:40.739198
Analysis finished	2021-07-10 23:48:19.361216
Duration	1 minute and 38.62 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

fec_not
Date

Distinct	105
Distinct (%)	43.9%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Minimum	2021-01-03 00:00:00
Maximum	2021-06-23 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

semana
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.90794979

Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	16
Q3	20
95-th percentile	24
Maximum	25
Range	24
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.545244889
Coefficient of variation (CV)	0.4706117715
Kurtosis	-1.139165219
Mean	13.90794979
Median Absolute Deviation (MAD)	5
Skewness	-0.232138938
Sum	3324
Variance	42.84023065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
16	23	9.6%
20	21	8.8%
21	14	5.9%
6	14	5.9%
8	13	5.4%
17	12	5.0%
19	12	5.0%
10	11	4.6%
7	11	4.6%
22	11	4.6%
Other values (15)	97	40.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5	2.1%
2	4	1.7%
3	6	2.5%
4	4	1.7%
5	10	4.2%
6	14	5.9%
7	11	4.6%
8	13	5.4%
9	7	2.9%
10	11	4.6%

Value	Count	Frequency (%)
25	3	1.3%
24	10	4.2%
23	4	1.7%
22	11	4.6%
21	14	5.9%
20	21	8.8%
19	12	5.0%
18	10	4.2%
17	12	5.0%
16	23	9.6%

cod_pre
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6784173951

Minimum	2001100572
Maximum	7600103359
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	2001100572
5-th percentile	6800100431
Q1	6800100431
median	6800100792
Q3	6800100792
95-th percentile	6800101157
Maximum	7600103359
Range	5599002787
Interquartile range (IQR)	361

Descriptive statistics

Standard deviation	314996833.8
Coefficient of variation (CV)	0.04643112575
Kurtosis	226.2295223
Mean	6784173951
Median Absolute Deviation (MAD)	361
Skewness	-14.76073351
Sum	1.621417574 × 10¹²
Variance	9.922300533 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6800100792	91	38.1%
6800100431	85	35.6%
6800101157	32	13.4%
6800100701	21	8.8%
6827600289	3	1.3%
6827601666	3	1.3%
6800103418	1	0.4%
7600103359	1	0.4%
6827600717	1	0.4%
2001100572	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2001100572	1	0.4%
6800100431	85	35.6%
6800100701	21	8.8%
6800100792	91	38.1%
6800101157	32	13.4%
6800103418	1	0.4%
6827600289	3	1.3%
6827600717	1	0.4%
6827601666	3	1.3%
7600103359	1	0.4%

Value	Count	Frequency (%)
7600103359	1	0.4%
6827601666	3	1.3%
6827600717	1	0.4%
6827600289	3	1.3%
6800103418	1	0.4%
6800101157	32	13.4%
6800100792	91	38.1%
6800100701	21	8.8%
6800100431	85	35.6%
2001100572	1	0.4%

cod_sub
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	232
2	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	232	97.1%
2	7	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	232	97.1%
2	7	2.9%

Most occurring characters

Value	Count	Frequency (%)
1	232	97.1%
2	7	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	232	97.1%
2	7	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	232	97.1%
2	7	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	232	97.1%
2	7	2.9%

tip_ide_
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

CC	182
CE	35
TI	12
AS	6
MS	3

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	478
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	CC
2nd row	CC
3rd row	CC
4th row	CC
5th row	CC

Common Values

Value	Count	Frequency (%)
CC	182	76.2%
CE	35	14.6%
TI	12	5.0%
AS	6	2.5%
MS	3	1.3%
PA	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
cc	182	76.2%
ce	35	14.6%
ti	12	5.0%
as	6	2.5%
ms	3	1.3%
pa	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
C	399	83.5%
E	35	7.3%
T	12	2.5%
I	12	2.5%
S	9	1.9%
A	7	1.5%
M	3	0.6%
P	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	478	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	399	83.5%
E	35	7.3%
T	12	2.5%
I	12	2.5%
S	9	1.9%
A	7	1.5%
M	3	0.6%
P	1	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	478	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	399	83.5%
E	35	7.3%
T	12	2.5%
I	12	2.5%
S	9	1.9%
A	7	1.5%
M	3	0.6%
P	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	478	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	399	83.5%
E	35	7.3%
T	12	2.5%
I	12	2.5%
S	9	1.9%
A	7	1.5%
M	3	0.6%
P	1	0.2%

num_ide_
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	230
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1092360630	2
1098830101	2
1097667397	2
1094779019	2
1065239617	2
Other values (225)	229

Length

Max length	18
Median length	10
Mean length	10.0041841
Min length	8

Characters and Unicode

Total characters	2391
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	221 ?
Unique (%)	92.5%

Sample

1st row	1095826018
2nd row	1005136505
3rd row	1095906344
4th row	1098613513
5th row	1098788039

Common Values

Value	Count	Frequency (%)
1092360630	2	0.8%
1098830101	2	0.8%
1097667397	2	0.8%
1094779019	2	0.8%
1065239617	2	0.8%
VEN21356932	2	0.8%
1095301777	2	0.8%
1098608865	2	0.8%
VEN20758670	2	0.8%
63557530	1	0.4%
Other values (220)	220	92.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1065239617	2	0.8%
1098830101	2	0.8%
1094779019	2	0.8%
1092360630	2	0.8%
1097667397	2	0.8%
ven20758670	2	0.8%
1098608865	2	0.8%
1095301777	2	0.8%
ven21356932	2	0.8%
63544038	1	0.4%
Other values (220)	220	92.1%

Most occurring characters

Value	Count	Frequency (%)
1	372	15.6%
0	347	14.5%
9	245	10.2%
6	208	8.7%
2	206	8.6%
7	189	7.9%
8	183	7.7%
5	182	7.6%
3	177	7.4%
4	147	6.1%
Other values (5)	135	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2256	94.4%
Uppercase Letter	135	5.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	372	16.5%
0	347	15.4%
9	245	10.9%
6	208	9.2%
2	206	9.1%
7	189	8.4%
8	183	8.1%
5	182	8.1%
3	177	7.8%
4	147	6.5%

Uppercase Letter

Value	Count	Frequency (%)
E	45	33.3%
V	44	32.6%
N	44	32.6%
P	1	0.7%
R	1	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	2256	94.4%
Latin	135	5.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	372	16.5%
0	347	15.4%
9	245	10.9%
6	208	9.2%
2	206	9.1%
7	189	8.4%
8	183	8.1%
5	182	8.1%
3	177	7.8%
4	147	6.5%

Latin

Value	Count	Frequency (%)
E	45	33.3%
V	44	32.6%
N	44	32.6%
P	1	0.7%
R	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2391	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	372	15.6%
0	347	14.5%
9	245	10.2%
6	208	8.7%
2	206	8.6%
7	189	7.9%
8	183	7.7%
5	182	7.6%
3	177	7.4%
4	147	6.1%
Other values (5)	135	5.6%

edad_
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.71966527

Minimum	14
Maximum	46
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	14
5-th percentile	17
Q1	22
median	27
Q3	33
95-th percentile	40
Maximum	46
Range	32
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	7.08775058
Coefficient of variation (CV)	0.2556939455
Kurtosis	-0.7601017096
Mean	27.71966527
Median Absolute Deviation (MAD)	6
Skewness	0.1494105061
Sum	6625
Variance	50.23620829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
20	16	6.7%
25	14	5.9%
34	14	5.9%
33	14	5.9%
32	14	5.9%
26	13	5.4%
30	12	5.0%
23	11	4.6%
35	11	4.6%
29	10	4.2%
Other values (21)	110	46.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	3	1.3%
15	4	1.7%
16	3	1.3%
17	5	2.1%
18	8	3.3%
19	7	2.9%
20	16	6.7%
21	10	4.2%
22	10	4.2%
23	11	4.6%

Value	Count	Frequency (%)
46	1	0.4%
43	3	1.3%
42	2	0.8%
41	4	1.7%
40	4	1.7%
39	4	1.7%
38	2	0.8%
37	4	1.7%
36	7	2.9%
35	11	4.6%

nombre_nacionalidad
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

COLOMBIA	196
VENEZUELA	43

Length

Max length	9
Median length	8
Mean length	8.179916318
Min length	8

Characters and Unicode

Total characters	1955
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	COLOMBIA
2nd row	COLOMBIA
3rd row	COLOMBIA
4th row	COLOMBIA
5th row	COLOMBIA

Common Values

Value	Count	Frequency (%)
COLOMBIA	196	82.0%
VENEZUELA	43	18.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
colombia	196	82.0%
venezuela	43	18.0%

Most occurring characters

Value	Count	Frequency (%)
O	392	20.1%
L	239	12.2%
A	239	12.2%
C	196	10.0%
M	196	10.0%
B	196	10.0%
I	196	10.0%
E	129	6.6%
V	43	2.2%
N	43	2.2%
Other values (2)	86	4.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1955	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	392	20.1%
L	239	12.2%
A	239	12.2%
C	196	10.0%
M	196	10.0%
B	196	10.0%
I	196	10.0%
E	129	6.6%
V	43	2.2%
N	43	2.2%
Other values (2)	86	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1955	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	392	20.1%
L	239	12.2%
A	239	12.2%
C	196	10.0%
M	196	10.0%
B	196	10.0%
I	196	10.0%
E	129	6.6%
V	43	2.2%
N	43	2.2%
Other values (2)	86	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1955	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	392	20.1%
L	239	12.2%
A	239	12.2%
C	196	10.0%
M	196	10.0%
B	196	10.0%
I	196	10.0%
E	129	6.6%
V	43	2.2%
N	43	2.2%
Other values (2)	86	4.4%

cod_dpto_o
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.54811715

Minimum	5
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	5
5-th percentile	20
Q1	68
median	68
Q3	68
95-th percentile	68
Maximum	91
Range	86
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.94578168
Coefficient of variation (CV)	0.2005601751
Kurtosis	9.86200977
Mean	64.54811715
Median Absolute Deviation (MAD)	0
Skewness	-3.278530297
Sum	15427
Variance	167.5932632
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
68	215	90.0%
20	8	3.3%
54	5	2.1%
13	5	2.1%
81	2	0.8%
27	2	0.8%
91	1	0.4%
5	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	1	0.4%
13	5	2.1%
20	8	3.3%
27	2	0.8%
54	5	2.1%
68	215	90.0%
81	2	0.8%
91	1	0.4%

Value	Count	Frequency (%)
91	1	0.4%
81	2	0.8%
68	215	90.0%
54	5	2.1%
27	2	0.8%
20	8	3.3%
13	5	2.1%
5	1	0.4%

cod_mun_o
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	205.2719665

Minimum	1
Maximum	893
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	11
Q3	307
95-th percentile	688
Maximum	893
Range	892
Interquartile range (IQR)	306

Descriptive statistics

Standard deviation	246.7503018
Coefficient of variation (CV)	1.20206527
Kurtosis	-0.4327068095
Mean	205.2719665
Median Absolute Deviation (MAD)	10
Skewness	0.8829928426
Sum	49060
Variance	60885.71144
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	117	49.0%
276	30	12.6%
307	25	10.5%
547	17	7.1%
11	5	2.1%
688	4	1.7%
655	4	1.7%
81	3	1.3%
679	3	1.3%
406	3	1.3%
Other values (21)	28	11.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	117	49.0%
11	5	2.1%
81	3	1.3%
128	2	0.8%
169	2	0.8%
190	1	0.4%
250	1	0.4%
255	1	0.4%
276	30	12.6%
307	25	10.5%

Value	Count	Frequency (%)
893	1	0.4%
855	1	0.4%
820	1	0.4%
780	1	0.4%
773	1	0.4%
743	1	0.4%
710	3	1.3%
689	1	0.4%
688	4	1.7%
679	3	1.3%

area_
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	209
3	29
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	3
2nd row	1
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	209	87.4%
3	29	12.1%
2	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	209	87.4%
3	29	12.1%
2	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	209	87.4%
3	29	12.1%
2	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	209	87.4%
3	29	12.1%
2	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	209	87.4%
3	29	12.1%
2	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	209	87.4%
3	29	12.1%
2	1	0.4%

ocupacion_
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9853.933054

Minimum	2611
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	2611
5-th percentile	9950
Q1	9996
median	9996
Q3	9999
95-th percentile	9999
Maximum	9999
Range	7388
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	921.4089388
Coefficient of variation (CV)	0.09350671795
Kurtosis	44.54791348
Mean	9853.933054
Median Absolute Deviation (MAD)	3
Skewness	-6.694858247
Sum	2355090
Variance	848994.4325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9999	114	47.7%
9996	108	45.2%
9950	10	4.2%
3343	1	0.4%
4311	1	0.4%
3221	1	0.4%
7533	1	0.4%
2611	1	0.4%
9997	1	0.4%
5120	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2611	1	0.4%
3221	1	0.4%
3343	1	0.4%
4311	1	0.4%
5120	1	0.4%
7533	1	0.4%
9950	10	4.2%
9996	108	45.2%
9997	1	0.4%
9999	114	47.7%

Value	Count	Frequency (%)
9999	114	47.7%
9997	1	0.4%
9996	108	45.2%
9950	10	4.2%
7533	1	0.4%
5120	1	0.4%
4311	1	0.4%
3343	1	0.4%
3221	1	0.4%
2611	1	0.4%

tip_ss_
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

S	107
C	80
N	47
P	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	C
4th row	S
5th row	C

Common Values

Value	Count	Frequency (%)
S	107	44.8%
C	80	33.5%
N	47	19.7%
P	5	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
s	107	44.8%
c	80	33.5%
n	47	19.7%
p	5	2.1%

Most occurring characters

Value	Count	Frequency (%)
S	107	44.8%
C	80	33.5%
N	47	19.7%
P	5	2.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	239	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	107	44.8%
C	80	33.5%
N	47	19.7%
P	5	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	239	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	107	44.8%
C	80	33.5%
N	47	19.7%
P	5	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	107	44.8%
C	80	33.5%
N	47	19.7%
P	5	2.1%

cod_ase_
Categorical

HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	13.5%
Missing	47
Missing (%)	19.7%
Memory size	2.0 KiB

ESS133	34
ESS024	31
EPS005	18
EPSS41	15
EPS002	14
Other values (21)	80

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1152
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	3.1%

Sample

1st row	ESS062
2nd row	ESS024
3rd row	EPS005
4th row	ESS024
5th row	EPS037

Common Values

Value	Count	Frequency (%)
ESS133	34	14.2%
ESS024	31	13.0%
EPS005	18	7.5%
EPSS41	15	6.3%
EPS002	14	5.9%
EPS010	11	4.6%
ESS062	10	4.2%
EPS016	10	4.2%
EPS017	9	3.8%
EPS046	7	2.9%
Other values (16)	33	13.8%
(Missing)	47	19.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ess133	34	17.7%
ess024	31	16.1%
eps005	18	9.4%
epss41	15	7.8%
eps002	14	7.3%
eps010	11	5.7%
eps016	10	5.2%
ess062	10	5.2%
eps017	9	4.7%
eps046	7	3.6%
Other values (16)	33	17.2%

Most occurring characters

Value	Count	Frequency (%)
S	298	25.9%
E	191	16.6%
0	181	15.7%
P	107	9.3%
1	88	7.6%
3	85	7.4%
2	63	5.5%
4	56	4.9%
6	28	2.4%
5	22	1.9%
Other values (5)	33	2.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	611	53.0%
Decimal Number	541	47.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	181	33.5%
1	88	16.3%
3	85	15.7%
2	63	11.6%
4	56	10.4%
6	28	5.2%
5	22	4.1%
7	18	3.3%

Uppercase Letter

Value	Count	Frequency (%)
S	298	48.8%
E	191	31.3%
P	107	17.5%
C	6	1.0%
R	5	0.8%
M	3	0.5%
F	1	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	611	53.0%
Common	541	47.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	181	33.5%
1	88	16.3%
3	85	15.7%
2	63	11.6%
4	56	10.4%
6	28	5.2%
5	22	4.1%
7	18	3.3%

Latin

Value	Count	Frequency (%)
S	298	48.8%
E	191	31.3%
P	107	17.5%
C	6	1.0%
R	5	0.8%
M	3	0.5%
F	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1152	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	298	25.9%
E	191	16.6%
0	181	15.7%
P	107	9.3%
1	88	7.6%
3	85	7.4%
2	63	5.5%
4	56	4.9%
6	28	2.4%
5	22	1.9%
Other values (5)	33	2.9%

estrato_
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	6.4%
Missing	145
Missing (%)	60.7%
Infinite	0
Infinite (%)	0.0%
Mean	2.276595745

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	3
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8968793606
Coefficient of variation (CV)	0.3939563547
Kurtosis	5.537877646
Mean	2.276595745
Median Absolute Deviation (MAD)	0
Skewness	1.704604675
Sum	214
Variance	0.8043925875
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	53	22.2%
3	25	10.5%
1	12	5.0%
6	2	0.8%
5	1	0.4%
4	1	0.4%
(Missing)	145	60.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	12	5.0%
2	53	22.2%
3	25	10.5%
4	1	0.4%
5	1	0.4%
6	2	0.8%

Value	Count	Frequency (%)
6	2	0.8%
5	1	0.4%
4	1	0.4%
3	25	10.5%
2	53	22.2%
1	12	5.0%

gp_discapa
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	238
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

gp_desplaz
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	238
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	238	99.6%
1	1	0.4%

gp_migrant
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	196
1	43

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	196	82.0%
1	43	18.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	196	82.0%
1	43	18.0%

Most occurring characters

Value	Count	Frequency (%)
2	196	82.0%
1	43	18.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	196	82.0%
1	43	18.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	196	82.0%
1	43	18.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	196	82.0%
1	43	18.0%

gp_gestan
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	180
2	59

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	180	75.3%
2	59	24.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	180	75.3%
2	59	24.7%

Most occurring characters

Value	Count	Frequency (%)
1	180	75.3%
2	59	24.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	180	75.3%
2	59	24.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	180	75.3%
2	59	24.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	180	75.3%
2	59	24.7%

sem_ges_
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	16.7%
Missing	59
Missing (%)	24.7%
Infinite	0
Infinite (%)	0.0%
Mean	32.50555556

Minimum	2
Maximum	41
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	2
5-th percentile	18
Q1	30.75
median	35
Q3	37
95-th percentile	40
Maximum	41
Range	39
Interquartile range (IQR)	6.25

Descriptive statistics

Standard deviation	7.363276856
Coefficient of variation (CV)	0.2265236428
Kurtosis	4.017962607
Mean	32.50555556
Median Absolute Deviation (MAD)	3
Skewness	-1.901373293
Sum	5851
Variance	54.21784606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
37	25	10.5%
36	18	7.5%
35	17	7.1%
38	14	5.9%
39	13	5.4%
32	12	5.0%
40	10	4.2%
34	9	3.8%
31	9	3.8%
33	7	2.9%
Other values (20)	46	19.2%
(Missing)	59	24.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	0.4%
3	1	0.4%
6	1	0.4%
8	1	0.4%
10	1	0.4%
12	1	0.4%
13	2	0.8%
18	3	1.3%
19	2	0.8%
20	1	0.4%

Value	Count	Frequency (%)
41	1	0.4%
40	10	4.2%
39	13	5.4%
38	14	5.9%
37	25	10.5%
36	18	7.5%
35	17	7.1%
34	9	3.8%
33	7	2.9%
32	12	5.0%

gp_otros
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	148
2	91

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	148	61.9%
2	91	38.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	148	61.9%
2	91	38.1%

Most occurring characters

Value	Count	Frequency (%)
1	148	61.9%
2	91	38.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	148	61.9%
2	91	38.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	148	61.9%
2	91	38.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	148	61.9%
2	91	38.1%

fuente
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	235
2	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	235	98.3%
2	4	1.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	235	98.3%
2	4	1.7%

Most occurring characters

Value	Count	Frequency (%)
1	235	98.3%
2	4	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	235	98.3%
2	4	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	235	98.3%
2	4	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	235	98.3%
2	4	1.7%

cod_dpto_r
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.58995816

Minimum	5
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	5
5-th percentile	20
Q1	68
median	68
Q3	68
95-th percentile	68
Maximum	91
Range	86
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.96793329
Coefficient of variation (CV)	0.2007732108
Kurtosis	9.819637092
Mean	64.58995816
Median Absolute Deviation (MAD)	0
Skewness	-3.268446142
Sum	15437
Variance	168.1672937
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
68	213	89.1%
20	8	3.3%
54	5	2.1%
13	5	2.1%
81	2	0.8%
27	2	0.8%
91	1	0.4%
76	1	0.4%
70	1	0.4%
5	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	1	0.4%
13	5	2.1%
20	8	3.3%
27	2	0.8%
54	5	2.1%
68	213	89.1%
70	1	0.4%
76	1	0.4%
81	2	0.8%
91	1	0.4%

Value	Count	Frequency (%)
91	1	0.4%
81	2	0.8%
76	1	0.4%
70	1	0.4%
68	213	89.1%
54	5	2.1%
27	2	0.8%
20	8	3.3%
13	5	2.1%
5	1	0.4%

cod_mun_r
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	204.6276151

Minimum	1
Maximum	895
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	11
Q3	307
95-th percentile	688
Maximum	895
Range	894
Interquartile range (IQR)	306

Descriptive statistics

Standard deviation	248.9038647
Coefficient of variation (CV)	1.216374753
Kurtosis	-0.3575105551
Mean	204.6276151
Median Absolute Deviation (MAD)	10
Skewness	0.9142233604
Sum	48906
Variance	61953.13386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
1	118	49.4%
276	28	11.7%
307	25	10.5%
547	17	7.1%
11	5	2.1%
688	4	1.7%
655	4	1.7%
406	3	1.3%
81	3	1.3%
710	3	1.3%
Other values (22)	29	12.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	118	49.4%
11	5	2.1%
81	3	1.3%
128	2	0.8%
167	1	0.4%
169	2	0.8%
190	1	0.4%
250	1	0.4%
255	1	0.4%
276	28	11.7%

Value	Count	Frequency (%)
895	1	0.4%
893	1	0.4%
855	1	0.4%
820	1	0.4%
780	1	0.4%
743	1	0.4%
710	3	1.3%
689	1	0.4%
688	4	1.7%
679	3	1.3%

fec_con_
Date

Distinct	131
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Minimum	2020-01-24 00:00:00
Maximum	2021-06-22 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

pac_hos_
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	237
2	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	237	99.2%
2	2	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	237	99.2%
2	2	0.8%

Most occurring characters

Value	Count	Frequency (%)
1	237	99.2%
2	2	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	237	99.2%
2	2	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	237	99.2%
2	2	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	237	99.2%
2	2	0.8%

fec_hos_
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

ajuste_
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0	158
7	77
6	2
D	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	7
2nd row	7
3rd row	7
4th row	7
5th row	7

Common Values

Value	Count	Frequency (%)
0	158	66.1%
7	77	32.2%
6	2	0.8%
D	2	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	158	66.1%
7	77	32.2%
6	2	0.8%
d	2	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	158	66.1%
7	77	32.2%
6	2	0.8%
D	2	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	237	99.2%
Uppercase Letter	2	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	158	66.7%
7	77	32.5%
6	2	0.8%

Uppercase Letter

Value	Count	Frequency (%)
D	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	237	99.2%
Latin	2	0.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	158	66.7%
7	77	32.5%
6	2	0.8%

Latin

Value	Count	Frequency (%)
D	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	158	66.1%
7	77	32.2%
6	2	0.8%
D	2	0.8%

fecha_nto_
Date

Distinct	229
Distinct (%)	95.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Minimum	1974-09-14 00:00:00
Maximum	2007-01-02 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

fec_aju_
Date

HIGH CORRELATION

Distinct	89
Distinct (%)	37.2%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Minimum	2021-01-03 00:00:00
Maximum	2021-06-23 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

pte_remtda
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	176
1	63

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	176	73.6%
1	63	26.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	176	73.6%
1	63	26.4%

Most occurring characters

Value	Count	Frequency (%)
2	176	73.6%
1	63	26.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	176	73.6%
1	63	26.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	176	73.6%
1	63	26.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	176	73.6%
1	63	26.4%

codinst_r1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	63.5%
Missing	176
Missing (%)	73.6%
Infinite	0
Infinite (%)	0.0%
Mean	6.146567519 × 10¹¹

Minimum	1.367000076 × 10¹¹
Maximum	9.100100019 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1.367000076 × 10¹¹
5-th percentile	1.437070457 × 10¹¹
Q1	6.800100701 × 10¹¹
median	6.808100797 × 10¹¹
Q3	6.852350365 × 10¹¹
95-th percentile	6.880590788 × 10¹¹
Maximum	9.100100019 × 10¹¹
Range	7.733099943 × 10¹¹
Interquartile range (IQR)	5224966350

Descriptive statistics

Standard deviation	1.766094228 × 10¹¹
Coefficient of variation (CV)	0.2873301598
Kurtosis	2.931177335
Mean	6.146567519 × 10¹¹
Median Absolute Deviation (MAD)	2259992316
Skewness	-2.044391683
Sum	3.872337537 × 10¹³
Variance	3.119088821 × 10²²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
6.800100701 × 10¹¹	10	4.2%
6.827600717 × 10¹¹	5	2.1%
6.827600717 × 10¹¹	3	1.3%
6.800100701 × 10¹¹	3	1.3%
6.867900973 × 10¹¹	2	0.8%
6.800100431 × 10¹¹	2	0.8%
6.854768008 × 10¹¹	2	0.8%
6.83070072 × 10¹¹	2	0.8%
6.854700001 × 10¹¹	2	0.8%
5.449800547 × 10¹¹	2	0.8%
Other values (30)	30	12.6%
(Missing)	176	73.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.367000076 × 10¹¹	1	0.4%
1.368800003 × 10¹¹	1	0.4%
1.374400032 × 10¹¹	1	0.4%
1.374400494 × 10¹¹	1	0.4%
2.001100126 × 10¹¹	1	0.4%
2.001100126 × 10¹¹	1	0.4%
2.0011126 × 10¹¹	1	0.4%
2.071000005 × 10¹¹	1	0.4%
5.412800641 × 10¹¹	1	0.4%
5.449800547 × 10¹¹	2	0.8%

Value	Count	Frequency (%)
9.100100019 × 10¹¹	1	0.4%
6.8895 × 10¹¹	1	0.4%
6.882000767 × 10¹¹	1	0.4%
6.882000767 × 10¹¹	1	0.4%
6.867900973 × 10¹¹	2	0.8%
6.867900793 × 10¹¹	1	0.4%
6.867900736 × 10¹¹	1	0.4%
6.865502512 × 10¹¹	1	0.4%
6.857500733 × 10¹¹	1	0.4%
6.854768008 × 10¹¹	2	0.8%

inst_refe1
Categorical

HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	56.2%
Missing	175
Missing (%)	73.2%
Memory size	2.0 KiB

HOSPITAL LOCAL DEL NORTE	10
ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA	5
HOSPITAL LOCAL DE PIEDECUESTA	4
ESE HOSPITAL SAN JUAN DE DIOS	4
UIMIST	3
Other values (31)	38

Length

Max length	50
Median length	29
Mean length	30.421875
Min length	6

Characters and Unicode

Total characters	1947
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	37.5%

Sample

1st row	ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA
2nd row	HOSPITAL LOCAL DEL NORTE
3rd row	HOSPITAL LOCAL DE AGUACHICA ESE
4th row	HOSPITAL LOCAL DEL NORTE
5th row	HOSPITAL LOCAL DE PIEDECUESTA

Common Values

Value	Count	Frequency (%)
HOSPITAL LOCAL DEL NORTE	10	4.2%
ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA	5	2.1%
HOSPITAL LOCAL DE PIEDECUESTA	4	1.7%
ESE HOSPITAL SAN JUAN DE DIOS	4	1.7%
UIMIST	3	1.3%
HOSPITAL LOCAL DE AGUACHICA ESE	2	0.8%
HOSPITAL REGIONAL DE SAN GIL	2	0.8%
CLINICA DE LA POLICIA	2	0.8%
IPS CENTRO DE SALUD TONA	2	0.8%
ESE HOSPITAL SAN JUAN DE DIOS GIRON	2	0.8%
Other values (26)	28	11.7%
(Missing)	175	73.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hospital	49	15.2%
de	40	12.4%
ese	29	9.0%
san	25	7.8%
local	18	5.6%
juan	13	4.0%
dios	12	3.7%
del	12	3.7%
norte	10	3.1%
regional	6	1.9%
Other values (68)	108	33.5%

Most occurring characters

Value	Count	Frequency (%)
	258	13.3%
A	231	11.9%
E	190	9.8%
L	157	8.1%
S	149	7.7%
I	143	7.3%
O	140	7.2%
N	99	5.1%
D	97	5.0%
T	95	4.9%
Other values (17)	388	19.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1684	86.5%
Space Separator	258	13.3%
Other Punctuation	5	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	231	13.7%
E	190	11.3%
L	157	9.3%
S	149	8.8%
I	143	8.5%
O	140	8.3%
N	99	5.9%
D	97	5.8%
T	95	5.6%
P	66	3.9%
Other values (15)	317	18.8%

Space Separator

Value	Count	Frequency (%)
	258	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1684	86.5%
Common	263	13.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	231	13.7%
E	190	11.3%
L	157	9.3%
S	149	8.8%
I	143	8.5%
O	140	8.3%
N	99	5.9%
D	97	5.8%
T	95	5.6%
P	66	3.9%
Other values (15)	317	18.8%

Common

Value	Count	Frequency (%)
	258	98.1%
.	5	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1945	99.9%
Latin 1 Sup	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	258	13.3%
A	231	11.9%
E	190	9.8%
L	157	8.1%
S	149	7.7%
I	143	7.4%
O	140	7.2%
N	99	5.1%
D	97	5.0%
T	95	4.9%
Other values (16)	386	19.8%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	2	100.0%

tiem_remis
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	11.1%
Missing	176
Missing (%)	73.6%
Infinite	0
Infinite (%)	0.0%
Mean	25.77777778

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	30
median	30
Q3	30
95-th percentile	30
Maximum	30
Range	29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9.892069884
Coefficient of variation (CV)	0.3837440903
Kurtosis	2.084850352
Mean	25.77777778
Median Absolute Deviation (MAD)	0
Skewness	-1.981878099
Sum	1624
Variance	97.85304659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
30	53	22.2%
1	5	2.1%
5	1	0.4%
6	1	0.4%
12	1	0.4%
2	1	0.4%
4	1	0.4%
(Missing)	176	73.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5	2.1%
2	1	0.4%
4	1	0.4%
5	1	0.4%
6	1	0.4%
12	1	0.4%
30	53	22.2%

Value	Count	Frequency (%)
30	53	22.2%
12	1	0.4%
6	1	0.4%
5	1	0.4%
4	1	0.4%
2	1	0.4%
1	5	2.1%

num_gestac
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.284518828

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.332610882
Coefficient of variation (CV)	0.5833223459
Kurtosis	4.390189365
Mean	2.284518828
Median Absolute Deviation (MAD)	1
Skewness	1.539317949
Sum	546
Variance	1.775851763
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	81	33.9%
1	78	32.6%
3	37	15.5%
4	29	12.1%
5	10	4.2%
6	2	0.8%
10	1	0.4%
7	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	78	32.6%
2	81	33.9%
3	37	15.5%
4	29	12.1%
5	10	4.2%
6	2	0.8%
7	1	0.4%
10	1	0.4%

Value	Count	Frequency (%)
10	1	0.4%
7	1	0.4%
6	2	0.8%
5	10	4.2%
4	29	12.1%
3	37	15.5%
2	81	33.9%
1	78	32.6%

num_parvag
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8033472803

Minimum	0
Maximum	10
Zeros	140
Zeros (%)	58.6%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	10
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.27311786
Coefficient of variation (CV)	1.584766502
Kurtosis	11.43612086
Mean	0.8033472803
Median Absolute Deviation (MAD)	0
Skewness	2.56752767
Sum	192
Variance	1.620829085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	140	58.6%
1	48	20.1%
2	25	10.5%
3	18	7.5%
4	5	2.1%
5	2	0.8%
10	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	140	58.6%
1	48	20.1%
2	25	10.5%
3	18	7.5%
4	5	2.1%
5	2	0.8%
10	1	0.4%

Value	Count	Frequency (%)
10	1	0.4%
5	2	0.8%
4	5	2.1%
3	18	7.5%
2	25	10.5%
1	48	20.1%
0	140	58.6%

num_cesare
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0	118
1	68
2	38
3	14
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	3
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
0	118	49.4%
1	68	28.5%
2	38	15.9%
3	14	5.9%
4	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	118	49.4%
1	68	28.5%
2	38	15.9%
3	14	5.9%
4	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	118	49.4%
1	68	28.5%
2	38	15.9%
3	14	5.9%
4	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	118	49.4%
1	68	28.5%
2	38	15.9%
3	14	5.9%
4	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	118	49.4%
1	68	28.5%
2	38	15.9%
3	14	5.9%
4	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	118	49.4%
1	68	28.5%
2	38	15.9%
3	14	5.9%
4	1	0.4%

num_aborto
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0	184
1	40
2	13
3	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	184	77.0%
1	40	16.7%
2	13	5.4%
3	2	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	184	77.0%
1	40	16.7%
2	13	5.4%
3	2	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	184	77.0%
1	40	16.7%
2	13	5.4%
3	2	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	184	77.0%
1	40	16.7%
2	13	5.4%
3	2	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	184	77.0%
1	40	16.7%
2	13	5.4%
3	2	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	184	77.0%
1	40	16.7%
2	13	5.4%
3	2	0.8%

num_molas
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0	234
2	3
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	234	97.9%
2	3	1.3%
1	2	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	234	97.9%
2	3	1.3%
1	2	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	234	97.9%
2	3	1.3%
1	2	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	234	97.9%
2	3	1.3%
1	2	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	234	97.9%
2	3	1.3%
1	2	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	234	97.9%
2	3	1.3%
1	2	0.8%

num_ectopi
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0	231
1	5
2	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	231	96.7%
1	5	2.1%
2	3	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	231	96.7%
1	5	2.1%
2	3	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	231	96.7%
1	5	2.1%
2	3	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	231	96.7%
1	5	2.1%
2	3	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	231	96.7%
1	5	2.1%
2	3	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	231	96.7%
1	5	2.1%
2	3	1.3%

num_muerto
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0	231
1	6
2	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	231	96.7%
1	6	2.5%
2	2	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	231	96.7%
1	6	2.5%
2	2	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	231	96.7%
1	6	2.5%
2	2	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	231	96.7%
1	6	2.5%
2	2	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	231	96.7%
1	6	2.5%
2	2	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	231	96.7%
1	6	2.5%
2	2	0.8%

num_vivos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.418410042

Minimum	0
Maximum	5
Zeros	56
Zeros (%)	23.4%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.123019257
Coefficient of variation (CV)	0.7917451398
Kurtosis	-0.1217179504
Mean	1.418410042
Median Absolute Deviation (MAD)	1
Skewness	0.5556235299
Sum	339
Variance	1.261172251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	79	33.1%
2	63	26.4%
0	56	23.4%
3	32	13.4%
4	7	2.9%
5	2	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	56	23.4%
1	79	33.1%
2	63	26.4%
3	32	13.4%
4	7	2.9%
5	2	0.8%

Value	Count	Frequency (%)
5	2	0.8%
4	7	2.9%
3	32	13.4%
2	63	26.4%
1	79	33.1%
0	56	23.4%

fec_ul_ges
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

no_con_pre
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.70292887

Minimum	0
Maximum	10
Zeros	121
Zeros (%)	50.6%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	6
95-th percentile	8
Maximum	10
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.143559475
Coefficient of variation (CV)	1.163019682
Kurtosis	-1.115851224
Mean	2.70292887
Median Absolute Deviation (MAD)	0
Skewness	0.6248819248
Sum	646
Variance	9.881966176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	121	50.6%
6	22	9.2%
4	20	8.4%
7	17	7.1%
8	15	6.3%
5	15	6.3%
3	10	4.2%
1	7	2.9%
9	5	2.1%
2	4	1.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	121	50.6%
1	7	2.9%
2	4	1.7%
3	10	4.2%
4	20	8.4%
5	15	6.3%
6	22	9.2%
7	17	7.1%
8	15	6.3%
9	5	2.1%

Value	Count	Frequency (%)
10	3	1.3%
9	5	2.1%
8	15	6.3%
7	17	7.1%
6	22	9.2%
5	15	6.3%
4	20	8.4%
3	10	4.2%
2	4	1.7%
1	7	2.9%

sem_c_pren
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	28
Distinct (%)	11.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.849372385

Minimum	0
Maximum	40
Zeros	121
Zeros (%)	50.6%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	10
95-th percentile	20
Maximum	40
Range	40
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.68786488
Coefficient of variation (CV)	1.314305942
Kurtosis	2.60651844
Mean	5.849372385
Median Absolute Deviation (MAD)	0
Skewness	1.513668534
Sum	1398
Variance	59.10326641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	121	50.6%
8	13	5.4%
12	13	5.4%
10	12	5.0%
6	9	3.8%
7	7	2.9%
20	7	2.9%
11	7	2.9%
4	5	2.1%
5	5	2.1%
Other values (18)	40	16.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	121	50.6%
1	2	0.8%
2	2	0.8%
3	1	0.4%
4	5	2.1%
5	5	2.1%
6	9	3.8%
7	7	2.9%
8	13	5.4%
9	3	1.3%

Value	Count	Frequency (%)
40	1	0.4%
36	1	0.4%
33	1	0.4%
30	2	0.8%
28	1	0.4%
26	1	0.4%
21	1	0.4%
20	7	2.9%
19	1	0.4%
18	3	1.3%

term_gesta
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

4	137
2	49
5	38
1	14
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	137	57.3%
2	49	20.5%
5	38	15.9%
1	14	5.9%
3	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	137	57.3%
2	49	20.5%
5	38	15.9%
1	14	5.9%
3	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
4	137	57.3%
2	49	20.5%
5	38	15.9%
1	14	5.9%
3	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	137	57.3%
2	49	20.5%
5	38	15.9%
1	14	5.9%
3	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	137	57.3%
2	49	20.5%
5	38	15.9%
1	14	5.9%
3	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	137	57.3%
2	49	20.5%
5	38	15.9%
1	14	5.9%
3	1	0.4%

moc_rel_tg
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	98
2	76
3	65

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	98	41.0%
2	76	31.8%
3	65	27.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	98	41.0%
2	76	31.8%
3	65	27.2%

Most occurring characters

Value	Count	Frequency (%)
1	98	41.0%
2	76	31.8%
3	65	27.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	98	41.0%
2	76	31.8%
3	65	27.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	98	41.0%
2	76	31.8%
3	65	27.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	98	41.0%
2	76	31.8%
3	65	27.2%

falla_card
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	131
1	108

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	131	54.8%
1	108	45.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	131	54.8%
1	108	45.2%

Most occurring characters

Value	Count	Frequency (%)
2	131	54.8%
1	108	45.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	131	54.8%
1	108	45.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	131	54.8%
1	108	45.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	131	54.8%
1	108	45.2%

falla_rena
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	216
1	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring characters

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

falla_hepa
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	194
1	45

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	194	81.2%
1	45	18.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	194	81.2%
1	45	18.8%

Most occurring characters

Value	Count	Frequency (%)
2	194	81.2%
1	45	18.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	194	81.2%
1	45	18.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	194	81.2%
1	45	18.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	194	81.2%
1	45	18.8%

falla_cere
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	228
1	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	228	95.4%
1	11	4.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	228	95.4%
1	11	4.6%

Most occurring characters

Value	Count	Frequency (%)
2	228	95.4%
1	11	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	228	95.4%
1	11	4.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	228	95.4%
1	11	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	228	95.4%
1	11	4.6%

falla_resp
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	217
1	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	217	90.8%
1	22	9.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	217	90.8%
1	22	9.2%

Most occurring characters

Value	Count	Frequency (%)
2	217	90.8%
1	22	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	217	90.8%
1	22	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	217	90.8%
1	22	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	217	90.8%
1	22	9.2%

falla_coag
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	216
1	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring characters

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	216	90.4%
1	23	9.6%

eclampsia
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	225
1	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	225	94.1%
1	14	5.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	225	94.1%
1	14	5.9%

Most occurring characters

Value	Count	Frequency (%)
2	225	94.1%
1	14	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	225	94.1%
1	14	5.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	225	94.1%
1	14	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	225	94.1%
1	14	5.9%

preclampsi
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	146
2	93

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	146	61.1%
2	93	38.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	146	61.1%
2	93	38.9%

Most occurring characters

Value	Count	Frequency (%)
1	146	61.1%
2	93	38.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	146	61.1%
2	93	38.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	146	61.1%
2	93	38.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	146	61.1%
2	93	38.9%

choq_septi
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	221
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	221	92.5%
1	18	7.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	221	92.5%
1	18	7.5%

Most occurring characters

Value	Count	Frequency (%)
2	221	92.5%
1	18	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	221	92.5%
1	18	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	221	92.5%
1	18	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	221	92.5%
1	18	7.5%

hemorragia_obstétrica_severa
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	184
1	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	184	77.0%
1	55	23.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	184	77.0%
1	55	23.0%

Most occurring characters

Value	Count	Frequency (%)
2	184	77.0%
1	55	23.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	184	77.0%
1	55	23.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	184	77.0%
1	55	23.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	184	77.0%
1	55	23.0%

cir_adicio
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2	224
1	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	239
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	224	93.7%
1	15	6.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	224	93.7%
1	15	6.3%

Most occurring characters

Value	Count	Frequency (%)
2	224	93.7%
1	15	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	224	93.7%
1	15	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	239	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	224	93.7%
1	15	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	224	93.7%
1	15	6.3%

ttl_criter
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.008368201

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	7
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.004157876
Coefficient of variation (CV)	0.4999869425
Kurtosis	3.372193676
Mean	2.008368201
Median Absolute Deviation (MAD)	1
Skewness	1.414332115
Sum	480
Variance	1.00833304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	104	43.5%
1	80	33.5%
3	35	14.6%
4	17	7.1%
6	2	0.8%
7	1	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	80	33.5%
2	104	43.5%
3	35	14.6%
4	17	7.1%
6	2	0.8%
7	1	0.4%

Value	Count	Frequency (%)
7	1	0.4%
6	2	0.8%
4	17	7.1%
3	35	14.6%
2	104	43.5%
1	80	33.5%

cir_adic_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	44.4%
Missing	230
Missing (%)	96.2%
Memory size	2.0 KiB

1.0	4
3.0	3
2.0	1
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	27
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	22.2%

Sample

1st row	1.0
2nd row	2.0
3rd row	4.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4	1.7%
3.0	3	1.3%
2.0	1	0.4%
4.0	1	0.4%
(Missing)	230	96.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	4	44.4%
3.0	3	33.3%
2.0	1	11.1%
4.0	1	11.1%

Most occurring characters

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	4	14.8%
3	3	11.1%
2	1	3.7%
4	1	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18	66.7%
Other Punctuation	9	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9	50.0%
1	4	22.2%
3	3	16.7%
2	1	5.6%
4	1	5.6%

Other Punctuation

Value	Count	Frequency (%)
.	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	27	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	4	14.8%
3	3	11.1%
2	1	3.7%
4	1	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	4	14.8%
3	3	11.1%
2	1	3.7%
4	1	3.7%

fec_egreso
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

dias_hospi
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.472803347

Minimum	0
Maximum	125
Zeros	65
Zeros (%)	27.2%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	5
95-th percentile	14
Maximum	125
Range	125
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	9.563053295
Coefficient of variation (CV)	2.138044656
Kurtosis	107.533659
Mean	4.472803347
Median Absolute Deviation (MAD)	3
Skewness	9.076391227
Sum	1069
Variance	91.45198833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	65	27.2%
2	38	15.9%
3	32	13.4%
4	18	7.5%
5	16	6.7%
6	15	6.3%
1	13	5.4%
7	12	5.0%
8	7	2.9%
10	4	1.7%
Other values (14)	19	7.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	65	27.2%
1	13	5.4%
2	38	15.9%
3	32	13.4%
4	18	7.5%
5	16	6.7%
6	15	6.3%
7	12	5.0%
8	7	2.9%
9	2	0.8%

Value	Count	Frequency (%)
125	1	0.4%
37	1	0.4%
35	1	0.4%
33	1	0.4%
32	1	0.4%
25	1	0.4%
20	1	0.4%
17	1	0.4%
16	1	0.4%
15	1	0.4%

egreso
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.1%
Missing	53
Missing (%)	22.2%
Memory size	2.0 KiB

1.0	170
2.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	558
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	170	71.1%
2.0	16	6.7%
(Missing)	53	22.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	170	91.4%
2.0	16	8.6%

Most occurring characters

Value	Count	Frequency (%)
.	186	33.3%
0	186	33.3%
1	170	30.5%
2	16	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	372	66.7%
Other Punctuation	186	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	186	50.0%
1	170	45.7%
2	16	4.3%

Other Punctuation

Value	Count	Frequency (%)
.	186	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	558	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	186	33.3%
0	186	33.3%
1	170	30.5%
2	16	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	558	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	186	33.3%
0	186	33.3%
1	170	30.5%
2	16	2.9%

caus_princ
Categorical

HIGH CORRELATION

Distinct	47
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

O141	123
O72X	34
O149	15
O721	7
O15X	5
Other values (42)	55

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	956
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	13.4%

Sample

1st row	J189
2nd row	O141
3rd row	O468
4th row	O141
5th row	O45X

Common Values

Value	Count	Frequency (%)
O141	123	51.5%
O72X	34	14.2%
O149	15	6.3%
O721	7	2.9%
O15X	5	2.1%
J129	4	1.7%
O722	3	1.3%
O234	2	0.8%
D696	2	0.8%
O233	2	0.8%
Other values (37)	42	17.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
o141	123	51.5%
o72x	34	14.2%
o149	15	6.3%
o721	7	2.9%
o15x	5	2.1%
j129	4	1.7%
o722	3	1.3%
o233	2	0.8%
j069	2	0.8%
o995	2	0.8%
Other values (37)	42	17.6%

Most occurring characters

Value	Count	Frequency (%)
1	294	30.8%
O	211	22.1%
4	145	15.2%
2	64	6.7%
X	50	5.2%
7	48	5.0%
9	40	4.2%
8	18	1.9%
5	15	1.6%
3	15	1.6%
Other values (10)	56	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	667	69.8%
Uppercase Letter	289	30.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	211	73.0%
X	50	17.3%
J	8	2.8%
D	6	2.1%
N	4	1.4%
I	4	1.4%
K	2	0.7%
R	2	0.7%
G	1	0.3%
A	1	0.3%

Decimal Number

Value	Count	Frequency (%)
1	294	44.1%
4	145	21.7%
2	64	9.6%
7	48	7.2%
9	40	6.0%
8	18	2.7%
5	15	2.2%
3	15	2.2%
6	14	2.1%
0	14	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	667	69.8%
Latin	289	30.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	211	73.0%
X	50	17.3%
J	8	2.8%
D	6	2.1%
N	4	1.4%
I	4	1.4%
K	2	0.7%
R	2	0.7%
G	1	0.3%
A	1	0.3%

Common

Value	Count	Frequency (%)
1	294	44.1%
4	145	21.7%
2	64	9.6%
7	48	7.2%
9	40	6.0%
8	18	2.7%
5	15	2.2%
3	15	2.2%
6	14	2.1%
0	14	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	956	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	294	30.8%
O	211	22.1%
4	145	15.2%
2	64	6.7%
X	50	5.2%
7	48	5.0%
9	40	4.2%
8	18	1.9%
5	15	1.6%
3	15	1.6%
Other values (10)	56	5.9%

caus_agrup
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.041841004

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.957083225
Coefficient of variation (CV)	0.95848953
Kurtosis	3.333261968
Mean	2.041841004
Median Absolute Deviation (MAD)	0
Skewness	2.128501983
Sum	488
Variance	3.830174748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	148	61.9%
2	52	21.8%
8	13	5.4%
4	10	4.2%
6	8	3.3%
7	5	2.1%
3	3	1.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	148	61.9%
2	52	21.8%
3	3	1.3%
4	10	4.2%
6	8	3.3%
7	5	2.1%
8	13	5.4%

Value	Count	Frequency (%)
8	13	5.4%
7	5	2.1%
6	8	3.3%
4	10	4.2%
3	3	1.3%
2	52	21.8%
1	148	61.9%

caus_asoc1
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	54.5%
Missing	206
Missing (%)	86.2%
Memory size	2.0 KiB

O149	11
U071	3
N939	2
O11X	2
O141	2
Other values (13)	13

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	132
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	39.4%

Sample

1st row	O009
2nd row	R568
3rd row	O149
4th row	O149
5th row	O141

Common Values

Value	Count	Frequency (%)
O149	11	4.6%
U071	3	1.3%
N939	2	0.8%
O11X	2	0.8%
O141	2	0.8%
N938	1	0.4%
R568	1	0.4%
O438	1	0.4%
A419	1	0.4%
O061	1	0.4%
Other values (8)	8	3.3%
(Missing)	206	86.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
o149	11	33.3%
u071	3	9.1%
o141	2	6.1%
n939	2	6.1%
o11x	2	6.1%
g408	1	3.0%
d508	1	3.0%
o842	1	3.0%
e669	1	3.0%
a419	1	3.0%
Other values (8)	8	24.2%

Most occurring characters

Value	Count	Frequency (%)
1	25	18.9%
O	22	16.7%
9	21	15.9%
4	17	12.9%
0	9	6.8%
8	6	4.5%
3	6	4.5%
6	5	3.8%
N	3	2.3%
X	3	2.3%
Other values (9)	15	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	96	72.7%
Uppercase Letter	36	27.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	25	26.0%
9	21	21.9%
4	17	17.7%
0	9	9.4%
8	6	6.2%
3	6	6.2%
6	5	5.2%
7	3	3.1%
5	2	2.1%
2	2	2.1%

Uppercase Letter

Value	Count	Frequency (%)
O	22	61.1%
N	3	8.3%
X	3	8.3%
U	3	8.3%
R	1	2.8%
G	1	2.8%
D	1	2.8%
E	1	2.8%
A	1	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	96	72.7%
Latin	36	27.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	25	26.0%
9	21	21.9%
4	17	17.7%
0	9	9.4%
8	6	6.2%
3	6	6.2%
6	5	5.2%
7	3	3.1%
5	2	2.1%
2	2	2.1%

Latin

Value	Count	Frequency (%)
O	22	61.1%
N	3	8.3%
X	3	8.3%
U	3	8.3%
R	1	2.8%
G	1	2.8%
D	1	2.8%
E	1	2.8%
A	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	25	18.9%
O	22	16.7%
9	21	15.9%
4	17	12.9%
0	9	6.8%
8	6	4.5%
3	6	4.5%
6	5	3.8%
N	3	2.3%
X	3	2.3%
Other values (9)	15	11.4%

caus_asoc2
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	6
Distinct (%)	100.0%
Missing	233
Missing (%)	97.5%
Memory size	2.0 KiB

O751	1
D696	1
P95X	1
K754	1
I10X	1

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	24
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	100.0%

Sample

1st row	D696
2nd row	O751
3rd row	I10X
4th row	U071
5th row	P95X

Common Values

Value	Count	Frequency (%)
O751	1	0.4%
D696	1	0.4%
P95X	1	0.4%
K754	1	0.4%
I10X	1	0.4%
U071	1	0.4%
(Missing)	233	97.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
k754	1	16.7%
d696	1	16.7%
o751	1	16.7%
p95x	1	16.7%
u071	1	16.7%
i10x	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
7	3	12.5%
5	3	12.5%
1	3	12.5%
6	2	8.3%
9	2	8.3%
0	2	8.3%
X	2	8.3%
D	1	4.2%
O	1	4.2%
I	1	4.2%
Other values (4)	4	16.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16	66.7%
Uppercase Letter	8	33.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
X	2	25.0%
D	1	12.5%
O	1	12.5%
I	1	12.5%
U	1	12.5%
P	1	12.5%
K	1	12.5%

Decimal Number

Value	Count	Frequency (%)
7	3	18.8%
5	3	18.8%
1	3	18.8%
6	2	12.5%
9	2	12.5%
0	2	12.5%
4	1	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	16	66.7%
Latin	8	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
X	2	25.0%
D	1	12.5%
O	1	12.5%
I	1	12.5%
U	1	12.5%
P	1	12.5%
K	1	12.5%

Common

Value	Count	Frequency (%)
7	3	18.8%
5	3	18.8%
1	3	18.8%
6	2	12.5%
9	2	12.5%
0	2	12.5%
4	1	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	3	12.5%
5	3	12.5%
1	3	12.5%
6	2	8.3%
9	2	8.3%
0	2	8.3%
X	2	8.3%
D	1	4.2%
O	1	4.2%
I	1	4.2%
Other values (4)	4	16.7%

caus_asoc3
Categorical

MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	237
Missing (%)	99.2%
Memory size	2.0 KiB

O800	1
E10X	1

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	8
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	O800
2nd row	E10X

Common Values

Value	Count	Frequency (%)
O800	1	0.4%
E10X	1	0.4%
(Missing)	237	99.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
e10x	1	50.0%
o800	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	3	37.5%
O	1	12.5%
8	1	12.5%
E	1	12.5%
1	1	12.5%
X	1	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5	62.5%
Uppercase Letter	3	37.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	1	33.3%
E	1	33.3%
X	1	33.3%

Decimal Number

Value	Count	Frequency (%)
0	3	60.0%
8	1	20.0%
1	1	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5	62.5%
Latin	3	37.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	1	33.3%
E	1	33.3%
X	1	33.3%

Common

Value	Count	Frequency (%)
0	3	60.0%
8	1	20.0%
1	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3	37.5%
O	1	12.5%
8	1	12.5%
E	1	12.5%
1	1	12.5%
X	1	12.5%

ndep_proce
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

SANTANDER	215
CESAR	8
NORTE SANTANDER	5
BOLIVAR	5
ARAUCA	2
Other values (3)	4

Length

Max length	15
Median length	9
Mean length	8.887029289
Min length	5

Characters and Unicode

Total characters	2124
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.8%

Sample

1st row	SANTANDER
2nd row	SANTANDER
3rd row	SANTANDER
4th row	SANTANDER
5th row	SANTANDER

Common Values

Value	Count	Frequency (%)
SANTANDER	215	90.0%
CESAR	8	3.3%
NORTE SANTANDER	5	2.1%
BOLIVAR	5	2.1%
ARAUCA	2	0.8%
CHOCO	2	0.8%
ANTIOQUIA	1	0.4%
AMAZONAS	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
santander	220	90.2%
cesar	8	3.3%
norte	5	2.0%
bolivar	5	2.0%
choco	2	0.8%
arauca	2	0.8%
amazonas	1	0.4%
antioquia	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
A	464	21.8%
N	447	21.0%
R	240	11.3%
E	233	11.0%
S	229	10.8%
T	226	10.6%
D	220	10.4%
O	16	0.8%
C	14	0.7%
I	7	0.3%
Other values (9)	28	1.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2119	99.8%
Space Separator	5	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	464	21.9%
N	447	21.1%
R	240	11.3%
E	233	11.0%
S	229	10.8%
T	226	10.7%
D	220	10.4%
O	16	0.8%
C	14	0.7%
I	7	0.3%
Other values (8)	23	1.1%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2119	99.8%
Common	5	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	464	21.9%
N	447	21.1%
R	240	11.3%
E	233	11.0%
S	229	10.8%
T	226	10.7%
D	220	10.4%
O	16	0.8%
C	14	0.7%
I	7	0.3%
Other values (8)	23	1.1%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2124	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	464	21.8%
N	447	21.0%
R	240	11.3%
E	233	11.0%
S	229	10.8%
T	226	10.6%
D	220	10.4%
O	16	0.8%
C	14	0.7%
I	7	0.3%
Other values (9)	28	1.3%

nmun_proce
Categorical

HIGH CORRELATION

Distinct	34
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

BUCARAMANGA	112
FLORIDABLANCA	30
GIRON	25
PIEDECUESTA	17
AGUACHICA	5
Other values (29)	50

Length

Max length	22
Median length	11
Mean length	10.40585774
Min length	4

Characters and Unicode

Total characters	2487
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	6.7%

Sample

1st row	FLORIDABLANCA
2nd row	BUCARAMANGA
3rd row	BUCARAMANGA
4th row	SURATA
5th row	BUCARAMANGA

Common Values

Value	Count	Frequency (%)
BUCARAMANGA	112	46.9%
FLORIDABLANCA	30	12.6%
GIRON	25	10.5%
PIEDECUESTA	17	7.1%
AGUACHICA	5	2.1%
SANTA ROSA DEL SUR	4	1.7%
SABANA DE TORRES	4	1.7%
SAN GIL	3	1.3%
BARRANCABERMEJA	3	1.3%
SAN ALBERTO	3	1.3%
Other values (24)	33	13.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bucaramanga	112	40.1%
floridablanca	30	10.8%
giron	25	9.0%
piedecuesta	17	6.1%
san	9	3.2%
de	6	2.2%
aguachica	5	1.8%
rosa	4	1.4%
sabana	4	1.4%
del	4	1.4%
Other values (36)	63	22.6%

Most occurring characters

Value	Count	Frequency (%)
A	656	26.4%
R	217	8.7%
N	196	7.9%
C	190	7.6%
B	163	6.6%
U	148	6.0%
G	148	6.0%
M	118	4.7%
I	99	4.0%
E	93	3.7%
Other values (18)	459	18.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2445	98.3%
Space Separator	40	1.6%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	656	26.8%
R	217	8.9%
N	196	8.0%
C	190	7.8%
B	163	6.7%
U	148	6.1%
G	148	6.1%
M	118	4.8%
I	99	4.0%
E	93	3.8%
Other values (15)	417	17.1%

Space Separator

Value	Count	Frequency (%)
	40	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2445	98.3%
Common	42	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	656	26.8%
R	217	8.9%
N	196	8.0%
C	190	7.8%
B	163	6.7%
U	148	6.1%
G	148	6.1%
M	118	4.8%
I	99	4.0%
E	93	3.8%
Other values (15)	417	17.1%

Common

Value	Count	Frequency (%)
	40	95.2%
(	1	2.4%
)	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2486	> 99.9%
Latin 1 Sup	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	656	26.4%
R	217	8.7%
N	196	7.9%
C	190	7.6%
B	163	6.6%
U	148	6.0%
G	148	6.0%
M	118	4.7%
I	99	4.0%
E	93	3.7%
Other values (17)	458	18.4%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	1	100.0%

ndep_resi
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

SANTANDER	213
CESAR	8
NORTE SANTANDER	5
BOLIVAR	5
ARAUCA	2
Other values (5)	6

Length

Max length	15
Median length	9
Mean length	8.853556485
Min length	5

Characters and Unicode

Total characters	2116
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	1.7%

Sample

1st row	SANTANDER
2nd row	SANTANDER
3rd row	SANTANDER
4th row	SANTANDER
5th row	SANTANDER

Common Values

Value	Count	Frequency (%)
SANTANDER	213	89.1%
CESAR	8	3.3%
NORTE SANTANDER	5	2.1%
BOLIVAR	5	2.1%
ARAUCA	2	0.8%
CHOCO	2	0.8%
VALLE	1	0.4%
SUCRE	1	0.4%
ANTIOQUIA	1	0.4%
AMAZONAS	1	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
santander	218	89.3%
cesar	8	3.3%
norte	5	2.0%
bolivar	5	2.0%
choco	2	0.8%
arauca	2	0.8%
valle	1	0.4%
amazonas	1	0.4%
antioquia	1	0.4%
sucre	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
A	461	21.8%
N	443	20.9%
R	239	11.3%
E	233	11.0%
S	228	10.8%
T	224	10.6%
D	218	10.3%
O	16	0.8%
C	15	0.7%
L	7	0.3%
Other values (9)	32	1.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2111	99.8%
Space Separator	5	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	461	21.8%
N	443	21.0%
R	239	11.3%
E	233	11.0%
S	228	10.8%
T	224	10.6%
D	218	10.3%
O	16	0.8%
C	15	0.7%
L	7	0.3%
Other values (8)	27	1.3%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2111	99.8%
Common	5	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	461	21.8%
N	443	21.0%
R	239	11.3%
E	233	11.0%
S	228	10.8%
T	224	10.6%
D	218	10.3%
O	16	0.8%
C	15	0.7%
L	7	0.3%
Other values (8)	27	1.3%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2116	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	461	21.8%
N	443	20.9%
R	239	11.3%
E	233	11.0%
S	228	10.8%
T	224	10.6%
D	218	10.3%
O	16	0.8%
C	15	0.7%
L	7	0.3%
Other values (9)	32	1.5%

nmun_resi
Categorical

HIGH CORRELATION

Distinct	37
Distinct (%)	15.5%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

BUCARAMANGA	111
FLORIDABLANCA	28
GIRON	25
PIEDECUESTA	17
AGUACHICA	5
Other values (32)	53

Length

Max length	22
Median length	11
Mean length	10.38075314
Min length	4

Characters and Unicode

Total characters	2481
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	7.9%

Sample

1st row	FLORIDABLANCA
2nd row	BUCARAMANGA
3rd row	BUCARAMANGA
4th row	SURATA
5th row	BUCARAMANGA

Common Values

Value	Count	Frequency (%)
BUCARAMANGA	111	46.4%
FLORIDABLANCA	28	11.7%
GIRON	25	10.5%
PIEDECUESTA	17	7.1%
AGUACHICA	5	2.1%
SABANA DE TORRES	4	1.7%
SANTA ROSA DEL SUR	4	1.7%
SAN GIL	3	1.3%
BARRANCABERMEJA	3	1.3%
SAN ALBERTO	3	1.3%
Other values (27)	36	15.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bucaramanga	111	39.6%
floridablanca	28	10.0%
giron	25	8.9%
piedecuesta	17	6.1%
san	9	3.2%
de	6	2.1%
aguachica	5	1.8%
torres	4	1.4%
del	4	1.4%
rosa	4	1.4%
Other values (40)	67	23.9%

Most occurring characters

Value	Count	Frequency (%)
A	655	26.4%
R	214	8.6%
N	197	7.9%
C	191	7.7%
B	160	6.4%
U	147	5.9%
G	146	5.9%
M	116	4.7%
I	100	4.0%
E	95	3.8%
Other values (18)	460	18.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2438	98.3%
Space Separator	41	1.7%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	655	26.9%
R	214	8.8%
N	197	8.1%
C	191	7.8%
B	160	6.6%
U	147	6.0%
G	146	6.0%
M	116	4.8%
I	100	4.1%
E	95	3.9%
Other values (15)	417	17.1%

Space Separator

Value	Count	Frequency (%)
	41	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2438	98.3%
Common	43	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	655	26.9%
R	214	8.8%
N	197	8.1%
C	191	7.8%
B	160	6.6%
U	147	6.0%
G	146	6.0%
M	116	4.8%
I	100	4.1%
E	95	3.9%
Other values (15)	417	17.1%

Common

Value	Count	Frequency (%)
	41	95.3%
(	1	2.3%
)	1	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2480	> 99.9%
Latin 1 Sup	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	655	26.4%
R	214	8.6%
N	197	7.9%
C	191	7.7%
B	160	6.5%
U	147	5.9%
G	146	5.9%
M	116	4.7%
I	100	4.0%
E	95	3.8%
Other values (17)	459	18.5%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	1	100.0%

ndep_notif
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	0.4%
Missing	9
Missing (%)	3.8%
Memory size	2.0 KiB

SANTANDER	230

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	2070
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SANTANDER
2nd row	SANTANDER
3rd row	SANTANDER
4th row	SANTANDER
5th row	SANTANDER

Common Values

Value	Count	Frequency (%)
SANTANDER	230	96.2%
(Missing)	9	3.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
santander	230	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	460	22.2%
N	460	22.2%
S	230	11.1%
T	230	11.1%
D	230	11.1%
E	230	11.1%
R	230	11.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2070	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	460	22.2%
N	460	22.2%
S	230	11.1%
T	230	11.1%
D	230	11.1%
E	230	11.1%
R	230	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2070	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	460	22.2%
N	460	22.2%
S	230	11.1%
T	230	11.1%
D	230	11.1%
E	230	11.1%
R	230	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	460	22.2%
N	460	22.2%
S	230	11.1%
T	230	11.1%
D	230	11.1%
E	230	11.1%
R	230	11.1%

nmun_notif
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	0.4%
Missing	9
Missing (%)	3.8%
Memory size	2.0 KiB

BUCARAMANGA	230

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	2530
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BUCARAMANGA
2nd row	BUCARAMANGA
3rd row	BUCARAMANGA
4th row	BUCARAMANGA
5th row	BUCARAMANGA

Common Values

Value	Count	Frequency (%)
BUCARAMANGA	230	96.2%
(Missing)	9	3.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bucaramanga	230	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	920	36.4%
B	230	9.1%
U	230	9.1%
C	230	9.1%
R	230	9.1%
M	230	9.1%
N	230	9.1%
G	230	9.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2530	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	920	36.4%
B	230	9.1%
U	230	9.1%
C	230	9.1%
R	230	9.1%
M	230	9.1%
N	230	9.1%
G	230	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2530	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	920	36.4%
B	230	9.1%
U	230	9.1%
C	230	9.1%
R	230	9.1%
M	230	9.1%
N	230	9.1%
G	230	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2530	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	920	36.4%
B	230	9.1%
U	230	9.1%
C	230	9.1%
R	230	9.1%
M	230	9.1%
N	230	9.1%
G	230	9.1%

nreg
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	239
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	217.8661088

Minimum	1
Maximum	409
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	21.9
Q1	131.5
median	226
Q3	312.5
95-th percentile	396.1
Maximum	409
Range	408
Interquartile range (IQR)	181

Descriptive statistics

Standard deviation	113.6542693
Coefficient of variation (CV)	0.5216702584
Kurtosis	-1.033468223
Mean	217.8661088
Median Absolute Deviation (MAD)	88
Skewness	-0.1343557256
Sum	52070
Variance	12917.29292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
409	1	0.4%
151	1	0.4%
170	1	0.4%
169	1	0.4%
163	1	0.4%
162	1	0.4%
161	1	0.4%
160	1	0.4%
159	1	0.4%
158	1	0.4%
Other values (229)	229	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.4%
3	1	0.4%
8	1	0.4%
9	1	0.4%
12	1	0.4%
13	1	0.4%
14	1	0.4%
15	1	0.4%
17	1	0.4%
19	1	0.4%

Value	Count	Frequency (%)
409	1	0.4%
407	1	0.4%
406	1	0.4%
405	1	0.4%
404	1	0.4%
403	1	0.4%
402	1	0.4%
401	1	0.4%
400	1	0.4%
399	1	0.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	fec_not	semana	cod_pre	cod_sub	tip_ide_	num_ide_	edad_	nombre_nacionalidad	cod_dpto_o	cod_mun_o	area_	ocupacion_	tip_ss_	cod_ase_	estrato_	gp_discapa	gp_desplaz	gp_migrant	gp_gestan	sem_ges_	gp_otros	fuente	cod_dpto_r	cod_mun_r	fec_con_	pac_hos_	fec_hos_	ajuste_	fecha_nto_	fec_aju_	pte_remtda	codinst_r1	inst_refe1	tiem_remis	num_gestac	num_parvag	num_cesare	num_aborto	num_vivos	fec_ul_ges	no_con_pre	sem_c_pren	term_gesta	moc_rel_tg	falla_card	falla_rena	falla_hepa	falla_cere	falla_resp	falla_coag	eclampsia	preclampsi	choq_septi	hemorragia_obstétrica_severa	cir_adicio	ttl_criter	cir_adic_1	fec_egreso	dias_hospi	egreso	caus_princ	caus_agrup	caus_asoc1	caus_asoc2	caus_asoc3	ndep_proce	nmun_proce	ndep_resi	nmun_resi	ndep_notif	nmun_notif	nreg
0	2021-01-06	1	6800100792	1	CC	1095826018	25	COLOMBIA	68	276	3	9996	S	ESS062	2.0	2	2	2	2	NaN	1	1	68	276	2020-12-30	1	2020-12-30 00:00:00	7	1995-08-02	2021-01-12	1	6.827601e+11	ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA	30.0	3	0	3	0	3	2020-12-28 00:00:00	4	14	4	3	1	2	2	2	1	2	2	1	2	2	2	3	NaN	2021-01-08 00:00:00	9	2.0	J189	6	NaN	NaN	NaN	SANTANDER	FLORIDABLANCA	SANTANDER	FLORIDABLANCA	SANTANDER	BUCARAMANGA	3
1	2021-03-11	10	6800100792	1	CC	1005136505	24	COLOMBIA	68	1	1	9996	S	ESS024	NaN	2	2	2	1	37.0	1	1	68	1	2021-03-10	1	2021-03-10 00:00:00	7	1996-09-23	2021-03-18	1	6.800101e+11	HOSPITAL LOCAL DEL NORTE	30.0	1	0	1	0	1	- -	0	0	4	2	2	2	1	2	2	2	2	2	2	2	2	1	NaN	2021-03-16 00:00:00	6	1.0	O141	1	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	348
2	2021-03-10	10	6800101157	1	CC	1095906344	35	COLOMBIA	68	1	1	9999	C	EPS005	3.0	2	2	2	1	39.0	2	1	68	1	2021-03-09	1	2021-03-09 00:00:00	7	1986-01-18	2021-04-29	2	NaN	NaN	NaN	2	1	1	0	2	2021-03-09 00:00:00	7	8	4	1	1	2	2	2	2	2	2	2	2	1	2	2	NaN	2021-03-13 00:00:00	4	1.0	O468	2	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	369
3	2021-03-09	10	6800100792	1	CC	1098613513	35	COLOMBIA	68	780	3	9996	S	ESS024	NaN	2	2	2	1	35.0	1	1	68	780	2021-03-09	1	2021-03-09 00:00:00	7	1985-08-21	2021-03-21	2	NaN	NaN	NaN	2	0	2	0	2	2021-03-08 00:00:00	5	10	4	2	2	2	1	2	2	2	2	1	2	2	2	2	NaN	2021-03-21 00:00:00	12	1.0	O141	1	NaN	NaN	NaN	SANTANDER	SURATA	SANTANDER	SURATA	SANTANDER	BUCARAMANGA	97
4	2021-03-10	10	6827601666	1	CC	1098788039	24	COLOMBIA	68	1	1	9996	C	EPS037	2.0	2	2	2	2	NaN	1	1	68	1	2021-03-08	1	2021-03-08 00:00:00	7	1996-07-12	2021-04-24	2	NaN	NaN	NaN	4	2	1	1	3	2019-09-04 00:00:00	6	9	4	2	2	2	2	2	2	2	2	2	2	1	2	1	NaN	2021-03-11 00:00:00	3	1.0	O45X	2	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	NaN	NaN	363
5	2021-03-07	10	6800101157	1	CC	27601180	39	COLOMBIA	68	1	1	9996	S	EPSS05	2.0	2	2	2	1	36.0	2	1	68	1	2021-03-07	1	2021-03-07 00:00:00	7	1981-06-27	2021-04-29	2	NaN	NaN	NaN	3	0	2	1	2	6/14/0200	5	13	4	2	1	2	2	2	2	2	2	2	2	1	2	2	NaN	2021-03-08 00:00:00	1	1.0	O72X	2	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	367
6	2021-03-07	10	6800101157	1	CC	37514499	43	COLOMBIA	68	1	1	9999	C	EPS005	4.0	2	2	2	1	38.0	2	1	68	1	2021-03-07	1	2021-03-07 00:00:00	7	1977-03-11	2021-04-29	2	NaN	NaN	NaN	2	1	0	0	1	1996-12-26 00:00:00	7	7	4	1	1	2	2	2	2	2	2	1	2	2	2	2	NaN	2021-03-11 00:00:00	4	1.0	O141	1	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	365
7	2021-03-09	10	6800100792	1	CE	VEN28744399	18	VENEZUELA	68	1	1	9996	N	NaN	NaN	2	2	1	1	30.0	1	1	68	1	2021-03-09	1	2021-03-09 00:00:00	7	2002-05-29	2021-03-18	2	NaN	NaN	NaN	1	0	0	0	0	- -	2	10	5	2	2	2	2	2	1	2	2	2	1	2	2	2	NaN	2021-03-16 00:00:00	7	1.0	O234	4	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	350
8	2021-03-16	11	6800100792	1	CC	1052570974	34	COLOMBIA	13	688	1	9996	S	EPSS37	NaN	2	2	2	1	23.0	1	1	13	688	2021-03-15	1	2021-03-15 00:00:00	7	1987-01-12	2021-03-21	1	2.001100e+11	HOSPITAL LOCAL DE AGUACHICA ESE	30.0	4	0	2	2	2	2021-03-14 00:00:00	0	0	4	1	1	2	1	2	2	2	2	1	2	2	2	3	NaN	2021-03-18 00:00:00	3	1.0	O141	1	NaN	NaN	NaN	BOLIVAR	SANTA ROSA DEL SUR	BOLIVAR	SANTA ROSA DEL SUR	SANTANDER	BUCARAMANGA	96
9	2021-03-18	11	6800100792	1	CC	1098619428	35	COLOMBIA	68	1	1	9996	S	EPSS41	NaN	2	2	2	1	32.0	1	1	68	1	2021-03-18	1	2021-03-18 00:00:00	7	1986-01-10	2021-03-21	1	6.800101e+11	HOSPITAL LOCAL DEL NORTE	30.0	4	0	2	2	2	2021-03-11 00:00:00	0	0	4	1	1	2	2	2	2	2	2	1	2	2	2	2	NaN	2021-03-19 00:00:00	1	1.0	O141	1	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	352

Last rows

	fec_not	semana	cod_pre	cod_sub	tip_ide_	num_ide_	edad_	nombre_nacionalidad	cod_dpto_o	cod_mun_o	area_	ocupacion_	tip_ss_	cod_ase_	estrato_	gp_discapa	gp_desplaz	gp_migrant	gp_gestan	sem_ges_	gp_otros	fuente	cod_dpto_r	cod_mun_r	fec_con_	pac_hos_	fec_hos_	fecha_nto_	fec_aju_	pte_remtda	codinst_r1	inst_refe1	tiem_remis	num_gestac	num_parvag	num_cesare	num_aborto	num_vivos	fec_ul_ges	no_con_pre	sem_c_pren	term_gesta	moc_rel_tg	falla_card	falla_rena	falla_hepa	falla_cere	falla_resp	falla_coag	eclampsia	preclampsi	choq_septi	hemorragia_obstétrica_severa	cir_adicio	ttl_criter	cir_adic_1	fec_egreso	dias_hospi	egreso	caus_princ	caus_agrup	caus_asoc1	caus_asoc2	caus_asoc3	ndep_proce	nmun_proce	ndep_resi	nmun_resi	ndep_notif	nmun_notif	nreg
229	2021-02-26	8	6800100431	1	CC	1092353487	28	COLOMBIA	68	1	1	9999	S	ESS133	NaN	2	2	2	1	31.0	2	1	68	1	2021-02-26	1	2021-02-26 00:00:00	1992-11-06	2021-06-13	2	NaN	NaN	NaN	4	0	2	1	0	2021-02-27 00:00:00	0	0	4	1	1	2	2	2	2	2	2	1	2	2	2	2	NaN	2021-03-01 00:00:00	3	1.0	O141	1	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	315
230	2021-02-23	8	6800100431	1	CC	1095810195	29	COLOMBIA	68	276	1	9999	C	EPS010	NaN	2	2	2	2	NaN	1	1	68	276	2021-02-23	1	2021-02-23 00:00:00	1991-10-09	2021-06-13	2	NaN	NaN	NaN	1	1	0	0	1	- -	0	0	2	3	2	2	2	2	2	2	2	2	1	2	2	1	NaN	2021-03-01 00:00:00	6	1.0	O911	4	NaN	NaN	NaN	SANTANDER	FLORIDABLANCA	SANTANDER	FLORIDABLANCA	SANTANDER	BUCARAMANGA	316
231	2021-02-22	8	6800100701	1	CC	1130084022	22	COLOMBIA	68	1	1	9999	S	EPSS05	2.0	2	2	2	2	NaN	1	1	68	1	2021-02-19	1	2021-02-19 00:00:00	1998-03-27	2021-02-22	2	NaN	NaN	NaN	1	1	0	0	1	- -	6	14	2	3	2	2	2	2	2	2	2	2	2	1	2	1	NaN	2021-02-21 00:00:00	2	1.0	O72X	2	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	79
232	2021-02-23	8	6800100431	1	CC	28134608	37	COLOMBIA	68	307	3	9999	C	ESSC24	NaN	2	2	2	2	NaN	1	1	68	307	2021-02-23	1	2021-02-23 00:00:00	1983-11-22	2021-06-13	2	NaN	NaN	NaN	4	0	3	1	3	2021-02-09 00:00:00	0	0	4	3	1	2	2	2	2	2	2	1	2	2	2	2	NaN	2021-02-25 00:00:00	2	1.0	O141	1	NaN	NaN	NaN	SANTANDER	GIRON	SANTANDER	GIRON	SANTANDER	BUCARAMANGA	317
233	2021-02-21	8	6800100431	1	CC	37844028	40	COLOMBIA	68	1	1	9999	C	EPS010	NaN	2	2	2	2	NaN	1	1	68	1	2021-02-21	1	2021-02-21 00:00:00	1981-04-24	2021-06-13	2	NaN	NaN	NaN	2	0	1	1	1	2021-02-15 00:00:00	0	0	4	3	1	2	2	2	2	2	2	1	2	2	2	2	NaN	2021-02-23 00:00:00	2	1.0	O141	1	NaN	NaN	NaN	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	SANTANDER	BUCARAMANGA	318
234	2021-02-23	8	6800100431	1	CC	63557530	36	COLOMBIA	68	276	1	9999	C	EPS010	NaN	2	2	2	1	18.0	2	1	68	276	2021-02-23	1	2021-02-23 00:00:00	1985-02-08	2021-06-15	2	NaN	NaN	NaN	1	0	1	0	1	- -	0	0	5	1	2	2	2	2	2	2	2	2	1	2	2	1	NaN	2021-02-27 00:00:00	4	1.0	O233	4	NaN	NaN	NaN	SANTANDER	FLORIDABLANCA	SANTANDER	FLORIDABLANCA	SANTANDER	BUCARAMANGA	333
235	2021-03-02	9	6800100792	1	CC	1065240815	27	COLOMBIA	20	710	1	9996	S	ESS062	NaN	2	2	2	1	27.0	1	1	20	710	2021-02-28	1	2021-02-28 00:00:00	1993-04-03	2021-03-02	2	NaN	NaN	NaN	4	3	0	0	3	2017-02-01 00:00:00	0	0	5	2	1	2	2	2	2	2	2	1	2	2	2	2	NaN	- -	0	NaN	O141	1	NaN	NaN	NaN	CESAR	SAN ALBERTO	CESAR	SAN ALBERTO	SANTANDER	BUCARAMANGA	84
236	2021-03-02	9	6800101157	1	CC	1095933910	27	COLOMBIA	68	276	1	9996	C	EPS017	3.0	2	2	2	1	39.0	2	1	68	276	2021-03-02	1	2021-03-02 00:00:00	1993-09-16	2021-03-05	2	NaN	NaN	NaN	3	3	0	0	3	2021-03-02 00:00:00	6	16	2	3	2	2	2	2	2	2	2	2	2	1	1	2	3.0	2021-03-04 00:00:00	2	1.0	O721	2	NaN	NaN	NaN	SANTANDER	FLORIDABLANCA	SANTANDER	FLORIDABLANCA	SANTANDER	BUCARAMANGA	86
237	2021-02-28	9	6800100431	1	CC	1098713774	29	COLOMBIA	68	307	1	9999	C	EPS005	NaN	2	2	2	1	38.0	2	1	68	307	2021-02-28	1	2021-02-28 00:00:00	1991-09-26	2021-06-13	2	NaN	NaN	NaN	2	0	1	0	1	2021-02-28 00:00:00	0	0	4	1	1	2	2	2	2	2	2	1	2	2	2	2	NaN	2021-03-02 00:00:00	2	1.0	O141	1	NaN	NaN	NaN	SANTANDER	GIRON	SANTANDER	GIRON	SANTANDER	BUCARAMANGA	314
238	2021-02-28	9	6800100431	1	CC	1116787501	31	COLOMBIA	81	1	3	9999	S	ESS133	NaN	2	2	2	1	12.0	2	1	81	1	2021-02-11	1	2021-02-11 00:00:00	1989-08-04	2021-06-15	2	NaN	NaN	NaN	4	3	0	0	3	2018-01-01 00:00:00	0	0	5	2	2	2	2	2	1	2	2	2	1	2	2	2	NaN	2021-03-18 00:00:00	35	1.0	J129	6	NaN	NaN	NaN	ARAUCA	ARAUCA	ARAUCA	ARAUCA	SANTANDER	BUCARAMANGA	329

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block